DERIVATION AND APPLICATION OF AN EXPERT FUZZY OPTIMAL-CONTROL SYSTEM

This paper presents derivation of a fuzzy optimal controller which may be used to develop a knowledge based expert control system for supervising and tuning of conventional feedback control loops. A general theory, based on the conceptual framework for optimization in a fuzzy environment, is presented for the development of linear and nonlinear fuzzy optimal control systems. This technique is based on integration of the optimal control theorem and fuzzy variables. The resulting expert controller is expressed in the form of linguistic fuzzy rules, representing the knowledge base for tuning of the feedback control loops. Tuning inferences are made from the response of local feedback control loops by applying the compositional rule of inference to the knowledge base.